Research on Collaborative Optimal Configuration Method of Charging Pile and Energy Storage in Active Distribution Network Based on Double Layers and Multi-Scenarios

A method to optimize the configuration of charging piles(CS) and energy storage(ES) with the most economical coordination is proposed. It adopts a two-layer and multi-scenario optimization configuration method. The upper layer considers the configuration of charging piles and energy storage. In the system coupled with the road network, the upper layer considers to improve the convenience and cost of charging electric vehicles by the charging pile configuration; the lower layer considers the operating cost of the distribution network, and reduces the operating cost of the distribution network through the economic benefits of charging piles and energy storage. Use genetic algorithm and solver Gurobi to solve. The feasibility and effectiveness of the proposed method are verified by the improved IEEE 33-node system and 25-node transportation system coupling, and the economic efficiency of the distribution network is improved through the cooperation of energy storage and charging piles.